Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County)
The classical methods, also known as hard methods, are based on the accuracy of calculations, while the real world is founded on the inaccuracy of boundaries and the uncertainties, which is more consistent with soft computing methods. Each of these methods has its own strengths and weaknesses, and t...
Saved in:
Main Author: | somayeh mehrabadi |
---|---|
Format: | Article |
Language: | fas |
Published: |
Kharazmi University
2021-03-01
|
Series: | تحقیقات کاربردی علوم جغرافیایی |
Subjects: | |
Online Access: | http://jgs.khu.ac.ir/article-1-3138-en.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction OPEC oil price utilizing long short-term memory and multi-layer perceptron models
by: Hiyam Abdulrahim, et al.
Published: (2025-01-01) -
Prediction of optimal growth parameters of barley seedling based on Kalman filter and multilayer perceptron
by: Yunlong HUANG, et al.
Published: (2021-12-01) -
Profiling Intangible Cultural Heritage Visitors through Multilayer Perceptron’s model
by: Lucía Castaño-Prieto, et al.
Published: (2025-01-01) -
Optimizing Multilayer Perceptron with Cost-Sensitive Learning for Addressing Class Imbalance in Credit Card Fraud Detection
by: Wowon Priatna, et al.
Published: (2024-08-01) -
Antenna azimuth diagnosis based on multi-layer perceptron model
by: Xiangrong CHEN
Published: (2021-04-01)